createOllamaStreamFn() only accepted baseUrl, ignoring custom headers
configured in models.providers.<provider>.headers. This caused 403
errors when Ollama endpoints are behind reverse proxies that require
auth headers (e.g. X-OLLAMA-KEY via HAProxy).
Add optional defaultHeaders parameter to createOllamaStreamFn() and
merge them into every fetch request. Provider headers from config are
now passed through at the call site in the embedded runner.
Fixes#24285
* fix(gateway): flush throttled delta before emitChatFinal
The 150ms throttle in emitChatDelta can suppress the last text chunk
before emitChatFinal fires, causing streaming clients (e.g. ACP) to
receive truncated responses. The final event carries the complete text,
but clients that build responses incrementally from deltas miss the
tail end.
Flush one last unthrottled delta with the complete buffered text
immediately before sending the final event. This ensures all streaming
consumers have the full response without needing to reconcile deltas
against the final payload.
* fix(gateway): avoid duplicate delta flush when buffer unchanged
Track the text length at the time of the last broadcast. The flush in
emitChatFinal now only sends a delta if the buffer has grown since the
last broadcast, preventing duplicate sends when the final delta passed
the 150ms throttle and was already broadcast.
* fix(gateway): honor heartbeat suppression in final delta flush
* test(gateway): add final delta flush and dedupe coverage
* fix(gateway): skip final flush for silent lead fragments
* docs(changelog): note gateway final-delta flush fix credits
---------
Co-authored-by: Jonathan Taylor <visionik@pobox.com>
Co-authored-by: Vincent Koc <vincentkoc@ieee.org>
* feat(hooks): add trigger and channelId to plugin hook agent context
Adds `trigger` and `channelId` fields to `PluginHookAgentContext` so
plugins can determine what initiated the agent run and which channel
it originated from, without session-key parsing or Redis bridging.
trigger values: "user", "heartbeat", "cron", "memory"
channelId values: "telegram", "discord", "whatsapp", etc.
Both fields are threaded through run.ts and attempt.ts hookCtx so all
hook phases receive them (before_model_resolve, before_prompt_build,
before_agent_start, llm_input, llm_output, agent_end).
channelId falls back from messageChannel to messageProvider when the
former is not set. followup-runner passes originatingChannel so queued
followup runs also carry channel context.
* docs(changelog): note hook context parity fix for #28623
---------
Co-authored-by: Vincent Koc <vincentkoc@ieee.org>
* fix(plugins): expose ephemeral sessionId in tool contexts for per-conversation isolation
The plugin tool context (`OpenClawPluginToolContext`) and tool hook
context (`PluginHookToolContext`) only provided `sessionKey`, which
is a durable channel identifier that survives /new and /reset.
Plugins like mem0 that need per-conversation isolation (e.g. mapping
Mem0 `run_id`) had no way to distinguish between conversations,
causing session-scoped memories to persist unbounded across resets.
Add `sessionId` (ephemeral UUID regenerated on /new and /reset) to:
- `OpenClawPluginToolContext` (factory context for plugin tools)
- `PluginHookToolContext` (before_tool_call / after_tool_call hooks)
- Internal `HookContext` for tool call wrappers
Thread the value from the run attempt through createOpenClawCodingTools
→ createOpenClawTools → resolvePluginTools and through the tool hook
wrapper.
Closes#31253
Made-with: Cursor
* fix(agents): propagate embedded sessionId through tool hook context
* test(hooks): cover sessionId in embedded tool hook contexts
* docs(changelog): add sessionId hook context follow-up note
* test(hooks): avoid toolCallId collision in after_tool_call e2e
---------
Co-authored-by: SidQin-cyber <sidqin0410@gmail.com>
* fix(hooks): deduplicate after_tool_call hook in embedded runs
(cherry picked from commit c129a1a74b)
* fix(hooks): propagate sessionKey in after_tool_call context
The after_tool_call hook in handleToolExecutionEnd was passing
`sessionKey: undefined` in the ToolContext, even though the value is
available on ctx.params. This broke plugins that need session context
in after_tool_call handlers (e.g., for per-session audit trails or
security logging).
- Add `sessionKey` to the `ToolHandlerParams` Pick type
- Pass `ctx.params.sessionKey` through to the hook context
- Add test assertion to prevent regression
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
(cherry picked from commit b7117384fc)
* fix(hooks): thread agentId through to after_tool_call hook context
Follow-up to #30511 — the after_tool_call hook context was passing
`agentId: undefined` because SubscribeEmbeddedPiSessionParams did not
carry the agent identity. This threads sessionAgentId (resolved in
attempt.ts) through the session params into the tool handler context,
giving plugins accurate agent-scoped context for both before_tool_call
and after_tool_call hooks.
Changes:
- Add `agentId?: string` to SubscribeEmbeddedPiSessionParams
- Add "agentId" to ToolHandlerParams Pick type
- Pass `agentId: sessionAgentId` at the subscribeEmbeddedPiSession()
call site in attempt.ts
- Wire ctx.params.agentId into the after_tool_call hook context
- Update tests to assert agentId propagation
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
(cherry picked from commit aad01edd3e)
* changelog: credit after_tool_call hook contributors
* Update CHANGELOG.md
* agents: preserve adjusted params until tool end
* agents: emit after_tool_call with adjusted args
* tests: cover adjusted after_tool_call params
* tests: align adapter after_tool_call expectation
---------
Co-authored-by: jbeno <jim@jimbeno.net>
Co-authored-by: scoootscooob <zhentongfan@gmail.com>
Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com>
x-ai/grok models on OpenRouter do not support the reasoning.effort
parameter and reject payloads containing it with "Invalid arguments
passed to the model." Skip reasoning injection for these models, the
same way we already skip it for the dynamic "auto" routing model.
Closes#32039
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
* feat(agents): support `thinkingDefault: "adaptive"` for Anthropic models
Anthropic's Opus 4.6 and Sonnet 4.6 support adaptive thinking where the
model dynamically decides when and how much to think. This is now
Anthropic's recommended mode and `budget_tokens` is deprecated on these
models.
Add "adaptive" as a valid thinking level:
- Config: `agents.defaults.thinkingDefault: "adaptive"`
- CLI: `/think adaptive` or `/think auto`
- Pi SDK mapping: "adaptive" → "medium" effort at the pi-agent-core
layer, which the Anthropic provider translates to
`thinking.type: "adaptive"` with `output_config.effort: "medium"`
- Provider fallbacks: OpenRouter and Google map "adaptive" to their
respective "medium" equivalents
Closes#30880
Made-with: Cursor
* style(changelog): format changelog with oxfmt
* test(types): fix strict typing in runtime/plugin-context tests
---------
Co-authored-by: Peter Steinberger <steipete@gmail.com>
GitHub Copilot API tokens expire after ~30 minutes. When OpenClaw spawns
a long-running subagent using Copilot as the provider, the token would
expire mid-session with no recovery mechanism, causing 401 auth errors.
This commit adds:
- Periodic token refresh scheduled 5 minutes before expiry
- Auth error detection with automatic token refresh and single retry
- Proper timer cleanup on session shutdown to prevent leaks
The implementation uses a per-attempt retry flag to ensure each auth
error can trigger one refresh+retry cycle without creating infinite
retry loops.
🤖 AI-assisted: This fix was developed with GitHub Copilot CLI assistance.
Testing: Fully tested with 3 new unit tests covering auth retry, retry
reset, and timer cleanup scenarios. All 11 auth rotation tests pass.
Fix tool-call lookup failures when models emit whitespace-padded names by normalizing
both transcript history and live streamed embedded-runner tool calls before dispatch.
Co-authored-by: wangchunyue <80630709+openperf@users.noreply.github.com>
Co-authored-by: Sid <sidqin0410@gmail.com>
Co-authored-by: Philipp Spiess <hello@philippspiess.com>
* fix(agents): add "google" provider to isReasoningTagProvider to prevent reasoning leak
The gemini-api-key auth flow creates a profile with provider "google"
(e.g. google/gemini-3-pro-preview), but isReasoningTagProvider only
matched "google-gemini-cli" (OAuth) and "google-generative-ai". As a
result:
- reasoningTagHint was false → system prompt omitted <think>/<final>
formatting instructions
- enforceFinalTag was false → <final> tag filtering was skipped
Raw <think> reasoning output was delivered to the end user.
Fix: add the bare "google" provider string to the match list and cover
it with two new test cases (exact match + case-insensitive).
Fixes#26551
* fix(agents): add forward-compat fallback for google-gemini-cli gemini-3.1-pro/flash-preview
gemini-3.1-pro-preview and gemini-3.1-flash-preview are not yet present in
pi-ai's built-in google-gemini-cli model catalog (only gemini-3-pro-preview
and gemini-3-flash-preview are registered). When users configure these models
they get "Unknown model" errors even though Gemini CLI OAuth supports them.
The codebase already has isGemini31Model() in extra-params.ts, which proves
intent to support these models. Add a resolveGoogleGeminiCli31ForwardCompatModel
entry to resolveForwardCompatModel following the same clone-template pattern
used for zai/glm-5 and anthropic 4.6 models.
- gemini-3.1-pro-* clones gemini-3-pro-preview (with reasoning: true)
- gemini-3.1-flash-* clones gemini-3-flash-preview (with reasoning: true)
Also add test helpers and three test cases to model.forward-compat.test.ts.
Fixes#26524
* Changelog: credit Google Gemini provider fallback fixes
---------
Co-authored-by: Vincent Koc <vincentkoc@ieee.org>
